
Ranking by articulatory scores is coherent with the SUPERB leaderboard [1]}, suggesting EMA prediction as a valid benchmark task.

SSL representations are highly correlated with articulations: a simple linear regression is able to yield high correlation above 0.8.

Articulatory encoding of SSL representations is extremely robust that only 5 minutes of EMA data are sufficient to obtain high performance.

Layer-wise analysis reveals a shared pattern in Transformer based models except for last few layers, which is consistent with previous phoneme encoding analyses [2]}, [3]}, [4]}. This trend is intact after fine-tuning for automatic speech recognition (ASR) task.

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